Deep specialization in enterprise agentic systems — now taking engagements

Most agentic systems break in production. We build the ones that don't.

Phase Alpha architects enterprise-grade agentic systems — from alignment layers and memory architecture to multi-agent orchestration and production governance.

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Selective intake · No RFPs

Abstract Background
The Honest Diagnosis

The failure modes your current vendor hasn't told you about.

Memory Integrity

Long-running agents accumulate memory drift. Without TTL governance, rollback policies, and poisoning defenses, your agent's behavior degrades silently over weeks.

Alignment Architecture

Guardrails bolted on post-deployment aren't alignment — they're liability. Constitutional constraints and behavioral boundaries need to be designed into the architecture from day one.

Orchestration Failure

Multi-agent systems without sandboxed execution environments, signed tool artifacts, and explicit permission scoping are not production systems. They're demos with blast radius.

Audit & Governance

Regulators and boards now require traceable AI decisions. A system without OpenTelemetry spans, NIST AI RMF mapping, and human-in-the-loop audit trails is an institutional risk.

Our Methodology

Alignment-first. Memory-native. Governance-ready.

Alignment

Alignment as architecture

We treat Constitutional AI constraints, RLHF behavioral boundaries, and guardrail logic as first-class architectural primitives — not safety wrapping applied after the fact. Every agent we build has its alignment envelope specified before a single tool is wired.

Memory

Memory as a first-class primitive

We design across all three memory tiers: working memory for in-context reasoning, episodic memory for session persistence, and semantic/parametric memory for durable knowledge. Each tier has explicit formation, retrieval, and expiration policies — because unmanaged memory is an attack surface.

Production

Production-grade by default

We don't retrofit governance. Every system we ship includes sandboxed execution environments, OWASP GenAI Top 10 mitigations, EU AI Act–aligned human oversight gates, and full OpenTelemetry observability from day one. If it can't survive a red team, it doesn't ship.

Capabilities Background
What We Build

Capabilities that cover the full agentic stack.

Multi-agent orchestration

Puppeteer-subordinate architectures using LangGraph, AutoGen, and CrewAI. Specialist agents with scoped permissions, A2A protocol integration, and failure-isolated execution.

Alignment & guardrail architecture

Constitutional constraints, behavioral red-teaming, prompt injection defenses, and runtime policy enforcement. Built in, not bolted on.

Enterprise memory layer design

Episodic, semantic, and working memory tiers with vector store selection, RAG pipeline tuning, TTL governance, and poisoning-resilient retrieval.

MCP tool integration

Model Context Protocol–compliant tool ecosystems. Signed artifacts, ABAC-scoped permissions, short-lived credentials, and secrets management across tool chains.

Agentic security red-teaming

Adversarial testing aligned to MITRE ATLAS and OWASP GenAI Top 10. Prompt injection, memory poisoning, tool misuse, and autonomous replication threat modeling.

Human-in-the-loop governance

Risk-adaptive HITL gates triggered by confidence thresholds, blast-radius estimates, and regulatory obligations under EU AI Act Article 14.

Observability & audit infrastructure

Full OpenTelemetry GenAI spans across prompts, tool calls, and safety filters. SIEM integration, SOAR automations, and board-ready audit trail generation.

Foundation model selection & fine-tuning

Model-agnostic evaluation across Anthropic, OpenAI, Mistral, and open-source stacks. Domain-specific fine-tuning, MoE routing, and cost-performance optimization.

What We Build On
LangGraph CrewAI AutoGen LangChain Anthropic Claude OpenAI Mistral AWS Bedrock Azure AI Foundry Google Vertex AI Pinecone Weaviate pgvector OpenTelemetry Firecracker gVisor SPIFFE/SPIRE Sigstore

Model-agnostic by design. Stack selected to fit the problem, not the partnership.

Proof That Survives Scrutiny

Architecture decisions made under real constraints.

Financial Services
Financial Services

Rebuilding a trade surveillance agent with memory integrity guarantees

A tier-1 bank's existing agent was generating false positives after 72-hour continuous runs — classic episodic memory drift. We replaced the flat context window with a three-tier memory architecture with signed episodic checkpoints and daily semantic consolidation. False positive rate dropped 84% in the first production month.

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Healthcare
Healthcare

Multi-agent clinical workflow orchestration with HITL at every risk tier

A health system needed autonomous prior authorization agents that could satisfy both speed requirements and HIPAA audit obligations. We designed a puppeteer-subordinate architecture with risk-adaptive HITL gates, Firecracker-sandboxed tool execution, and full OpenTelemetry spans per CMS traceability guidelines. Time-to-authorization dropped from 4.2 days to 6 hours.

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Enterprise SaaS
Enterprise SaaS

Alignment architecture for a customer-facing agent serving 2M users

The client had launched a customer agent with prompt-level guardrails that were being bypassed at a 12% rate in adversarial red team testing. We redesigned the alignment layer using constitutional constraints at training time, runtime policy enforcement via API gateway sidecars, and behavioral drift detection. Bypass rate in subsequent red-teaming: under 0.3%.

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The Right Fit

We are deliberately selective.

We work with founders, engineering leaders, CTOs, and heads of AI at enterprises that have moved past experimentation.

We're the right fit if...

  • You are exploring ideas that require agentic capabilities
  • You have a defined agentic use case and real production stakes
  • Your team can engage technically at the architecture level
  • You've experienced the failure modes described above — firsthand
  • You're operating in a regulated environment that demands auditability
  • You're thinking in systems, not demos
Who we work with
The Team

People who have been inside the hard problems.

Tamur Haq

Tamur Haq

Principal — Alignment Architecture

Former research engineer at a frontier AI lab, specializing in RLHF pipeline design and constitutional constraint systems. Led alignment architecture on three enterprise agents now in regulated production.

Published work →
Avais

Avais Muhib Ur Rasool

Principal — Multi-Agent Systems

10 years in distributed systems before pivoting to agentic AI. Designed orchestration frameworks for two of the largest multi-agent deployments in financial services. Contributor to LangGraph core.

Published work →
Thinking at the Frontier

Original thinking, not AI news reposts.

Alignment
Alignment

Why alignment-first design changes every memory architecture decision you'll make

When guardrails are designed in, not bolted on, the constraints reshape how you tier memory, how you scope tool permissions, and where you place your human-in-the-loop gates. The cascade is larger than most teams anticipate.

8 min read Read →
Orchestration
Orchestration

The case against monolithic agents: what the microservices moment teaches us about agentic architecture

The 1,445% surge in multi-agent inquiries isn't hype — it's the same architectural inevitability that killed the monolith. Specialization, isolation, and composability are as relevant to agent design as they were to service design.

11 min read Read →
Production
Production

Memory is the moat: why state management will separate serious agentic deployments from demos

The winners in enterprise AI won't be the best talkers. They'll be the best at retrieval discipline, update governance, rollback, and audit trails. In 2026, memory policy is product strategy.

7 min read Read →
How We Work

A process designed for high-stakes decisions.

01 · Technical Briefing

A 90-minute diagnostic — not a sales call.

We map your architecture, surface the failure modes already present, and assess whether we're the right fit. No NDAs required to have a real conversation.

02 · Architecture Assessment

A structured 2-week deep dive.

Resulting in a full architecture brief: current-state gaps, proposed system design, alignment envelope specification, and a phased engagement scope with fixed deliverables.

03 · Phased Build

We build in phases with embedded alignment reviews.

Adversarial red-teaming at each milestone, and weekly technical briefings. You own every decision and every artifact.

04 · Production Handoff

Delivery includes full observability infrastructure.

Governance documentation mapped to your regulatory obligations, a red team report, and a 90-day operational support window.

If you're building something consequential — let's talk.

We take on a small number of engagements each quarter. Current availability: Q3 2026.

Request a Technical Briefing

No RFPs · No procurement portals